Optimization
Optimize AI agents for speed, cost, reliability, and better business outcomes.
Optimization is where many AI systems start creating measurable returns. Herb Trevathan helps teams tighten prompts, workflows, routing, and operating patterns so AI does more with less waste.
Common optimization targets
- Lower token usage and infrastructure cost
- Faster workflow completion and reduced latency
- Higher response consistency and better output quality
- Improved routing between models, tools, and human review
Areas Herb reviews
- Prompt strategy and context construction
- Tool selection and workflow sequencing
- Fallback behavior and safety controls
- Agent operating metrics and business KPIs
Efficiency analysis
Identify avoidable cost, repeated work, and unnecessary model usage.
Prompt refinement
Strengthen instructions, context windows, and response reliability.
Model right-sizing
Use the right model for the right task instead of overspending on every step.
Need help choosing the right model before optimizing the workflow?
The Choosing a Model page compares self-hosted AI models and recommends likely fits based on your needs for quality, code generation, privacy, throughput, and hardware.